AI/ML Engineer – Technical Skill Set (Agentic AI Focus)
1. Core Programming & Systems Skills
- Python (expert level) for ML, orchestration, and agent logic
- Strong understanding of async programming, concurrency, and task scheduling
2. Foundations of Agentic AI
- Design and implementation of autonomous AI agents capable of:
- Multi‑step reasoning and planning
- Goal decomposition and task orchestration
- Energetic decision‑making under uncertainty
- Experience with agent architectures:
- ReAct, Plan‑and‑Execute, Reflexive agents
- Hierarchical / multi‑agent systems
- Tool‑augmented and function‑calling agents
- Understanding of stateful vs stateless agents and memory management
3. Large Language Models (LLMs)
- Hands‑on experience with LLMs (OpenAI, Azure OpenAI, Anthropic, open‑source models)
- Prompt‑engineering techniques for:
- Reasoning (Chain‑of‑Thought, Self‑Reflection)
- Planning and critique loops
- Instruction following and tool use
- Experience with:
- Few‑shot and zero‑shot prompting
- Model selection trade‑offs (latency, cost, context length)
- Knowledge of fine‑tuning / adapters (LoRA) is a plus
4. Agent Frameworks & Tooling
- Practical experience with agent frameworks, such as:
- LangGraph / LangChain (agents, tools, memory)
- Semantic Kernel
- AutoGen, CrewAI, or similar
- Ability to build custom agent orchestration layers beyond frameworks
- Tool abstraction and execution safety (timeouts, retries, sandboxing)
5. Memory, Context & Knowledge Augmentation
- Design of agent memory systems:
- Short‑term (conversation/state memory)
- Long‑term (episodic, semantic memory)
- Retrieval‑Augmented Generation (RAG):
- Vector databases (FAISS, Pinecone, Azure AI Search, etc.)
- Embedding selection and chunking strategies
- Techniques for context management and compression
- Knowledge graph–augmented or hybrid memory (plus)
6. Planning, Reasoning & Control
- Experience implementing:
- Task planners (step planning, re‑planning)
- Constraint‑based execution
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📌 AI/ML Engineer – Technical Skill Set (Noida)
🏢 UIDM
📍 Noida